GREEN RAIL TO FOSTER URBAN SUSTAINABILITY VERSUS SPRAWL Domenico Enrico MASSIMO1, Antonino BARBALACE1 Tab. 1. Does sprawl induce economic growth? No!. Ratio: sprawl 1990-2005; GDP per GDP PER CAPITA 2006 (€) capita 2006 40.000 30.000 SPRAWL 1990-2005 — GDP PER CAPITA 2006 32.970 32.594 Prov. Bolzano Valle d’Aosta 20.000 28.068 Friuli 27.600 Sprawl-GDP 25.200 Toscana 16.723 ITALIA 10.000 16.478 Sicilia Calabria 22% 26% 0 2% 9% 14% 15% 17% SPRAWL : % of regional land consumption 1990-2005 Source: Istat; Union Camere; author direct investigation 1. Research objectives First objective of the research is to conduct a meta-analysis of the relevant relationship between “urban sprawl and economic growth”. 1 Dipartimento Patrimonio Architettonico e Urbanistico, PAU. Università degli Studi Mediterranea di Reggio Calabria. 25 Via Melissari, 89124 Reggio Calabria, Italy. Phone 39.360.997513; Office 39.0965.385228; Fax 39.0965.385222. Email: [email protected]; [email protected] Attributions. Massimo D. E. conducted the research and wrote paragraphs 1, 2, 3, 6, 7, 8. Barbalace A. organized and managed the field experimental work, and wrote paragraphs 4, 5. 1 Second objective of the research is to derive possible systematic interventions to redirect the urban sprawl phenomenon that is still consuming all the scarce and costly natural resources of the planet. The same themes are investigated at international geographic scale as well as at territorial scale, by experimenting Case Studies in which the general framework is compared to specific local situations. 2. Sprawl - growth relationship at geographic scale The meta-analysis conducted in the four continents identifies in some driving forces the causes of the world wide phenomenon of the sprawl. Some of them are: a) economic growth; b) demographic boom; c) re-localization of complex activities in semi-urban areas; d) housing shortage in urban areas; e) high index of thronging, population crowding in small areas. Researches agree to identify and assess the following negative effects: - environmental, in terms of land, water and air consumption, and also acoustic pollution; - social, in terms of time people spend for commuting, and the relative mobility, psychological and family costs. In the last decades strong policy responses have been addressed, in particular in Europe, to mitigate sprawl. Among them there are: 1. consolidation, id est treasuring and revamping of the existing cities; 2. containment, id est re-urbanization of suburban areas by enhancing street connectivity and reducing the dimension of urban blocks; 3. new urbanism, id est construction of new compact and dense settlements characterized by a mix of various urban functions and served by heavy urban rail system; 4. heavy urban rail system, id est collective sustainable infrastructure on rail. 2 3. Sprawl - growth relationship at territorial scale. Case Study Research has investigated sprawl at local level by implementing a Case Study in the entire Calabria region focusing on the central isthmian area (the narrowest part of Italy: 40 km) where the second (Catanzaro) and third (Lamezia Terme) towns of the region are located. Then, the results have been compared with other Italian regions as Trentino, Valle d’Aosta, Friuli and Tuscany, so called “Italia intermedia” [i.e. “intermediate Italy”] for their medium size in terms of population, economy and inter-sectoral mix. Sprawl in the Study area has distinctive characteristics. Its causes seem to be different to those identified at geographic international scale. In fact, the driving forces are not confirmed and sprawl in the Study area is not connected to the growth factors singled out as the causes in other contexts at geographic scale. Therefore: a) Sprawl is not proportional to GDP. In Calabria there is the most relevant percentage of sprawl of all Italy (26,13% of more built land from 1990 to 2005, versus Italy average of 17,06%) to which corresponds the lowest regional GDP per capita. According to the Italian Department of Statistics, in 2006 Calabria GDP per capita was equal to 16.478 Euro, beneath Italian average of the same year (25.200 Euro), and far beneath the richest Bolzano province (32.970 Euro), according to reference data. b) Sprawl is not connected to population boom because in the last decade it hasn’t been recorded a demographic increase in Calabria. c) Sprawl has not an employment motivation, because endemic and increasing is the unemployment in the region. d) The area has one of the highest percentage of unoccupied houses of Italy, and therefore there is not any shortage in the real estate supply. e) The urbanized land per resident has increased from about 30 m2 per inhabitant in 1954 to over 400 m2 per inhabitant in 2001, and therefore there is not overcrowding at any latitude. 3 4. Diagrammatic intermedia” comparison of Calabria with “Italia The diagrammatic comparison (Tab. 1 and 3) between regions such as Trentino, Valle d’Aosta, Friuli and Tuscany with Calabria, investigated in the Case Study, highlights an unexpected truth: the most virtuous regions in terms of smallest sprawl (the least land consumption) have the highest growth of GDP per capita (2006); the most vicious region, Calabria, in terms of highest sprawl (the largest land consumption 1990-2005) has the lowest growth of GDP per capita (2006). Additionally, a specific parallel proxy, such as foreign tourist percentage over the total of the country, validates the above outcome: Trentino shares 20% of the total; Valle d’Aosta 18%; and Calabria only 2%. Tab. 2. Case Study. Ratio between urbanization\resident [m2\res]. Diachronic analysis from 1870 to 2008, in the province of Catanzaro Anno Urbanized land m2 Concentr. population residents m2\ resident 1870 (a) 4.523.578 (b) 191.648 23,60 1954 (a) 8.903.840 (b) 274.286 32,46 2001 (a) 144.519.312 (b) 347.302 416,12 Prg2008 (c) 250.000.000 (d) 340.000 719,84 Source: (a) historic cartography; (b) Istat; (c) urban plans; (d) Town Halls Tab. 3. Case Study. Ratio sprawl\GDP per capita in some Italian regions Regions \ Sprawl % GDP 2006 Provinces 1990-2005 per-capita Bolzano 2,86 32.970 Valle d’Aosta 9,31 32.594 Friuli 14,42 28.068 Toscana 15,71 27.600 Italia 17,06 25.200 Sicilia 22,00 16.723 Calabria 26,13 16.478 Source: Istat; Unioncamere; research by authors 4 5. Geographic information system as support of the presented research The availability of powerful GIS tools made possible to analyze at large scale: land use dynamics of an entire region; relationship between settlements and farm land from 1783 to 2010; mobility data; transport alternative designs. The built-up Geodatabase has therefore made possible to store and connect in a comprehensive framework many information layers, such as: georeferenced historical cartographies from 1783-1870 to present date; boundaries of each settlement at different dates; calculation of land consumption over time (1870-2010) on scientific cartographic basis; demographic data reconstructing population dynamics for each settlement in the last two centuries; economic data; information about mobility; design of alternative scenarios of intervention to wrestling sprawl to the ground. 6. Results on sprawl and mobility: increase of private car use Research has highlighted at territorial scale the similar sprawl negative impacts identified at geographic scale, consisting in a pervasive increase of the individual mobility with private cars. Furthermore, research at territorial scale in the Case Study area has found out that the main commuting concentration of the entire region is the isthmian corridor Lamezia-Catanzaro, characterized by the largest volume of traffic with private cars (over 28.000 each day), versus a potential supply of already existing (but inefficient) sustainable green urban rail system. Then, research focused on the need and urgency to address policy responses, id est to design specific interventions against the negative impacts of sprawl. Research has detected how important are the interventions aiming to enhance and ease the potential interactions and the potential exchanges between people and places (structural accessibility) in a region characterized by a very fragile economy: they might stimulate opportunities of productive growth and economic development. According to international analyses and studies, the enhancement of collective transport system might represent one of the best ways to wrestling 5 sprawl to the ground by strengthening the compact and consolidated cities by creating a polycentric structure avoiding further settlement dispersion, and by enhancing potential exchange between people and places (i.e. accessibility). 7. Existing but inefficient urban rail system. Overview of planning frameworks The enhancement of already existing urban rail system in the Study area has been considered in several transportation plans at different government and institutional level, among which: 1. Piano Generale dei Trasporti e della Logistica (Gennaio 2001) nazionale e corridoi paneuropei e magrebino [National Plan for Transport and Logistic]; 2. Programma Operativo Nazionale, PON. Settore Trasporti. Periodo di Programmazione 2000-2006. [National Operative Program for Transport]; 3. POR 2000-2006. Asse VI. Reti e Nodi di Servizio (2001) [Regional Plan for Transport 2000-2006]; 4. POR 2007-2013. Piano Regionale dei Trasporti. Aggiornamento e adeguamento [Regional Plan for Transport 2007-2013. Updating]; 5. Piano di Bacino della Provincia di Catanzaro (2006) [Provincial Plan for Mobility and Transport]. The overview has provided information about the convergence of plans and programs in advocating the intervention for a more efficient and modern rail road in the existing trial. Specifically, the contents of the various transportation plans, analitically examined, have all indicated as tendentially preferable the strengthening of the existing railroad infrastructure by integrating it with the existing settlement system, and by amplifying the service also to other nearby centres through small, cheap and agile vehicles called feeders. All this against the individual mobility with private cars in the narrow isthmus connecting the two national Tyrrenian and Jonian-Adriatic rail corridors, parts of the paneuropean rail corridors. 8. First considerations Research has therefore concluded that at territorial scale in the Case Study area it is possible to design infrastructure enhancement to address the policy 6 responses to sprawl, by empowering the transversal railroad of the isthmus having the following stations: International Airport, Central Station, Sambiase, Nicastro, Pianopoli, Marcellinara, Settingiano, Policlinico – Università – Mercati Generali – Regione, Lido, Catanzaro. This transversal railroad will enhance the connection between the two national Tyrrenian and Jonian-Adriatic rail corridors, as well as among several of the main settlements (with about 250.000 residents) and some technological poles of the Study area. Figures Fig. 1. Urban sprawl assessment. Original settlements at 1870 (red) and 1954 (orange) within the sprawl of today expansion at 2001 (grey). Entire province of Catanzaro 7 Fig. 2. Central area of Calabria: Lamezia Terme – Catanzaro. Transport alternative. Mobility by private cars on route SS208, not serving towns (28.000 cars each day) Fig. 3. Central area of Calabria: Lamezia Terme – Catanzaro. Transport alternative. Improvement of the existing urban railroad (green) crossing urban settlements and serving more than 250.000 inhabitants in towns 8 Fig. 4. Impact of the alternative transport at regional level. Infrastructures to connect and unify Calabria. The isthmus connection between the two national Tyrrenian and JonianAdriatic rail corridors and narrowest part of Italy (40 km) 9 Selected bibliography Initial studies concerning sprawl Clawson M., (1971), Suburban Land Conversion, Washington, Mimeo. Clawson M., (1973), Planning and Urban Growth, Washington, Mimeo. Sprawl European Environment Agency, (2006), Urban Sprawl in Europe. The Ignored Challenge, Office for Official Publications of the European Communities, Luxembourg, ISSN 1725-9177. Galster G., Hanson R., Ratcliffe M., Coleman S., and Freihage J., (2001), Wrestling Sprawl to the Ground, SGA, Washington D. C., Usa, Mimeo. Kim A. M., (2002), Urban Land Market Development in Transition Economies, Department of Urban Studies and Planning, Massachusetts Institute of Technology, Cambridge, Ma, Usa, Mimeo. Emiliani V., (2007), Il consumo di suolo in Italia, Roma, Mimeo. Massimo D. E., (2008), Appunti su Trasporti ed Estimo. Caso di Studio in Calabria, Corso a scelta <Valutazione della Sostenibilità Architettonica Urbana Ambientale>, Università degli Studi Mediterranea, Laboratorio PAUGis, Reggio Calabria, Mimeo. Massimo D. E. and Musolino M., Barbalace A., Fragomeni C., Guidara M., Malerba A., Marzo Micale A., Massimo A. P. P., Mercuri A. E. S., Vescio M., (2009), “GIS dello sprawl urbanistico. Recenti innovazioni nelle stime quantitative”, Atti della Dodicesima Conferenza Nazionale Utenti ESRI, GIS in action, Roma, 27-28.05.2009, ESRI Italia, Roma, CD-Rom. Massimo D. E., and Barbalace A., (2009), “Urban sprawl e crescita territoriale. La sfida della scala in una stima a livello sub-regionale in Calabria”, Atti della XXX Conferenza Italiana di Scienze Regionali, Federalismo, integrazione europea e crescita regionale, AISRe, Milano, CD-Rom. Massimo D. E., (2009), “Valutazione dell’urban sprawl e strumenti GIS”, In Federazione delle Associazioni Scientifiche per Informazioni Territoriali e Ambientali, vol. 13 pp. 1399-1404, Asita, Milano, ISBN 978-88-903132-2-6. Saum C., (2008), “Beijing and Shanghai: Places of Change and Contradiction”, Land Lines, vol. 20, n. 4, pp. 2-7, Lincoln Institute of Land Policy, Cambridge, Ma, Usa. Young D., (1995), Alternatives to Sprawl, Lincoln Institute of Land Policy, Cambridge, Ma, Usa, ISBN 1-55844-128-X. Local economy Unioncamere, (2006), Pil 2005 delle province italiane, Roma, Mimeo. Unioncamere, (2006), Il prodotto lordo delle economie provinciali negli anni 2003-2005, Roma, Mimeo (28.12.2006). Istat, (2003), Conti economici territoriali: stima anticipata della dinamica di alcuni aggregati economici nelle grandi ripartizioni geografiche, Roma, Mimeo. Transport infrastructure valuation Ben-Akiva M. E., and Lerman S., (1977), “Disaggregate Travel and MobilityChoice Model and Measures of Accessibility”, in Hensher D., Stopher P. (eds) 10 Behavioural Travel Modeling, Proceedings of the 3rd International Conference on Behavioural Travel Modeling, Croom Helm, London, pp. 645-679. Ben-Akiva M. E., and Bierlaire M., (1999), “Discrete Choice Method and Their Application to Short-Term Travel Decisions”, in Hall R. W. (ed) Handbook of Transportation Science, Kluwer Academic Publisher, Norwell, Ma, Usa. Cameron I., Kenworthy J. R., and Lyons T. J., (2003), Understanding and predicting private motorised urban mobility. Transportation Research, Part D, vol. 8, pp. 267-283. Gakenheimer R., and Zegras C., (2004), “Drivers of travel demand in cities of the developing world”, Mobility 2030: Meeting the challenges of sustainability, World Business Council for Sustainable Development, Conches-Geneva, Mimeo. Hall R. W., Ed, (1999), Handbook of Transportation Science, Kluwer Academic Publisher, Norwell, Ma, Usa. Marcucci E., and Gatta V., (2005), Definizione e metodi di stima della qualità nei servizi: il caso dei trasporti, Università degli Studi di Urbino, Urbino, Mimeo. Marone E., Ed, (2005), Le grandi infrastrutture: approcci di ordine giuridico, economico ed estimativo, Atti del XXXIV Incontro di Studio Ce.S.E.T., Firenze 15-16.10.2004, Firenze University Press, Firenze, ISSN 1826-249X on line, ISSN 1826-2481. Massimo D. E., et alii, (2010), “Transport System to Redirect the Sprawl Without Growth. Comparison between Alpine and Southernmost Italian Regions”, Atti della XXXI Conferenza Italiana di Scienze Regionali, AISRe, Identità, qualità e competitività territoriale - Sviluppo economico e coesione nei territori alpini. Aosta, 20-22.09.2010, AISRe, Milano, CD-Rom, In corso di pubblicazione. Massimo D. E., et alii, (2010), “GIS for Valuation of Urban Sprawl and Green Transportation”, Proceedings of the 30th ESRI International User Conference, San Diego, California, Usa. July 12-16.07.2010, ESRI Press, Redlands, California, Usa, CD-Rom. Massimo D. E., et alii, (2009), “Urban sprawl e valutazione di infrastrutture di trasporto. Un Caso di Studio nell’area centrale della Calabria”, in Marone E., Ed, La Valutazione degli Investimenti Infrastrutturali Urbani ed Extraurbani. Aspetti Giuridici, Estimativi ed Ambientali, Firenze University Press, Firenze, ISSN: 1826-249X. Massimo D. E., et alii, (2009), “Valuation of Landscape Change. Sprawl as a Driver in the Backstage of Landscape Mosaic”, Architettura del Paesaggio, ISSN: 1125-0259. Massimo D. E., (2009), “Valutazione diacronica dei rapporti tra diverse tipologie di paesaggio. Un Caso di Studio di area vasta”, in Stanghellini S., Ed, Valutazione e progetto di paesaggio, DEI, Roma. Massimo D. E., et alii, (2009), “Urban sprawl e crescita economica territoriale. La sfida della scala in una stima a livello sub-regionale”, Atti della XXX Conferenza Italiana di Scienze Regionali, AISRe, Federalismo, integrazione europea e crescita regionale, Firenze, 09-11.09.2009, AISRe, Milano, CDRom. Massimo D. E., et alii, (2009),” GIS dello sprawl urbanistico. Recenti innovazioni nelle stime quantitative”, Atti della 12a Conferenza Nazionale Utenti ESRI, Gis in Action, Roma, 27-28.05.2009, ESRI Italia, Roma, CD-Rom. Stanghellini S., (2004), La selezione dei progetti e il controllo dei costi nella riqualificazione urbana e territoriale, Alinea Editrice, Firenze, ISBN: 888-12583-74. 11 Wilson N. H. M., and Nuzzolo A., (2004), Schedule-Based Dynamic Transit Modelling: Theory and Applications, Kluwer Academic Publisher, Norwell, Ma, Usa. Zegras C., (2009), “Mainstreaming Sustainable Urban Mobility”, in Dimitriou H., and Gakenheimer R., Ed, Transport Policy-Making and Planning for Cities of the Developing World, Routledge, New York, Usa. Zegras C., and Gakenheimer R., (2000), Urban Growth Management for Mobility: The Case of the Santiago, Chile Metropolitan Region, Lincoln Institute of Land Policy and MIT Cooperative Program, Cambridge, Ma, Usa, Mimeo. Zegras C., and Srinivasan S., (2007), “Household Income, Travel Behaviour, Location and Accessibility: Sketches From Two Different Developing Contexts”, Transportation Research Record, n. 2038, Transportation Research Board of the National Academies, Washington D.C., Usa, ISSN 0361-1981. Zegras C., Sussman J., and Conklin C., (2004), “Scenario Planning: a Proposed Approach for Strategic Regional Transportation Planning”, Journal of Urban Planning and Development, vol. 130 (1), American Society of Civil Engineers, Renton, Va, Usa. Zhan G., (2008), Transfers and Path Choice in Urban Public Transportation System, Department of Urban Studies and Planning, Massachusetts Institute of Technology, Cambridge, Ma, Usa, Mimeo. Zhao J. H., Wilson N. H. M., and Rahbee A., (2006), “Estimating Rail Passenger Trip Origin-Destination Matrix Using Automatic Data Collection”, ComputerAided Civil and Infrastructure Engineering, vol. 22, n. 5, pp. 376-387. Transport at country and European level Ministero delle Infrastrutture e dei Trasporti, (2001), PON trasporti 2000-2006, Roma, Mimeo. Ministero dei Lavori Pubblici, (2001), Piano Generale dei Trasporti e della Logistica (Gennaio 2001) nazionale e corridoi paneuropei e magrebino, Roma, Mimeo. Transport at regional and provincial level Provincia di Catanzaro, (2006), Piano di Bacino della Provincia di Catanzaro redatto ai sensi dell’art.11 della l.r. 23/1999, Gruppo Soges, Catanzaro, Mimeo Regione Calabria, (2001), Programma Operativo Regione Calabria. Complemento di programmazione. Scheda di Misura. Asse VI – Reti e Nodi di Servizio, Catanzaro, Mimeo. Regione Calabria, (2003), Piano Regionale dei Trasporti. Adeguamento ed aggiornamento (Maggio 2003), vol. 1, Analisi della situazione attuale e previsione degli scenari futuri, Ecosfera, Catanzaro, Mimeo. Regione Calabria, (2007), Programma Operativo Regionale, POR Calabria, FESR 2007–2013, Catanzaro, Mimeo. 12